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AAAI, AAAI2026, articles

#AAAI2026 invited talk: machine learning for particle physics

Simulated Large Hadron Collider CMS particle detector data depicting a Higgs boson produced by colliding protons decaying into hadron jets and electrons. Reproduced under a CC BY-SA 3.0 licence. Daniel Whiteson is a particle physicist, who uses machine learning and statistical tools to analyze high-energy particle collisions. He is also a dedicated science communicator, having […]

AAAI, AIES, articles, IROS, monthly digest, RoboCup

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we delved into the history of RoboCup, learned about time series, studied multiplicity, and found out more about Theory of Mind. Manuela Veloso on the history […]

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Machine learning framework to predict global imperilment status of freshwater fish

By Sean Nealon Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction, with a particular focus on identifying threats to fish before they become endangered. “People sometimes go in to protect species when it’s already too late,” said Ivan Arismendi, an associate professor in Oregon State University’s Department of […]

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An AI image generator for non-English speakers

Although text-to-image generation is rapidly advancing, these AI models are mostly English-centric. This increases digital inequality for non-English speakers. Researchers at the University of Amsterdam Faculty of Science have created NeoBabel, an AI image generator that can work in six different languages. By making all elements of their research open source, anyone can build on […]

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AI chatbots can effectively sway voters – in either direction

Bart Fish & Power Tools of AI / Behaviour Power / Licenced by CC-BY 4.0 By Patricia Waldron The potential for artificial intelligence to affect election results is a major public concern. Two new papers – with experiments conducted in four countries – demonstrate that chatbots powered by large language models (LLMs) are quite effective […]

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The malleable mind: context accumulation drives LLM’s belief drift

After being trained on a dataset of 80,000 words of conservative political philosophy, Grok-4 changed the stance of its outputs on political questions more than a quarter of the time. This was without any adversarial prompts – the change in training data was enough. As memory mechanisms and research agents [1, 2] enable LLMs to accumulate […]

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The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

Hanna Barakat & Cambridge Diversity Fund / Data Lab Dialogue / Licenced by CC-BY 4.0 By Nir Eisikovits, UMass Boston and Jacob Burley, UMass Boston Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ban the tech? […]

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